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Model Uncertainty Quantification for Reliable Deep Vision Structural
  Health Monitoring

Model Uncertainty Quantification for Reliable Deep Vision Structural Health Monitoring

10 April 2020
S. Sajedi
Xiao Liang
    UQCV
ArXivPDFHTML

Papers citing "Model Uncertainty Quantification for Reliable Deep Vision Structural Health Monitoring"

2 / 2 papers shown
Title
Bayesian Convolutional Neural Networks with Bernoulli Approximate
  Variational Inference
Bayesian Convolutional Neural Networks with Bernoulli Approximate Variational Inference
Y. Gal
Zoubin Ghahramani
UQCV
BDL
197
745
0
06 Jun 2015
Dropout as a Bayesian Approximation: Representing Model Uncertainty in
  Deep Learning
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning
Y. Gal
Zoubin Ghahramani
UQCV
BDL
285
9,145
0
06 Jun 2015
1